Aref Einizade

Aref Einizade

Assistant Professor at Telecom SudParis, Institut Polytechnique de Paris .

Since Feb. 2026, I have started my career at Telecom SudParis, Institut Polytechnique de Paris (IP-Paris). Before that, I have been a postdoctoral researcher (Nov. 2023–Jan. 2026) in the Multi-Media team at Télécom Paris, IP-Paris , under the supervison of Dr. Jhony Giraldo and Prof. Fragkiskos Malliaros . My research lies at the intersection of graph machine learning (GML), graph signal processing (GSP), and graph neural networks (GNN), with a focus on theoretically grounded methods for multi-modal graphs and applications in biomedical data (especially brain signals), weather, and traffic forecasting.

I received my Ph.D. in Electrical Engineering from Sharif University of Technology in February 2023, where I developed GSP and GML algorithms for unknown graph structures, primarily for biomedical applications, such as modeling the connections between different brain regions using graph analytics under the supervision of Prof. Sepideh Hajipour Sardouie . My recent work extends to generalized structures, such as simplicial complexes and hypergraphs and generative models with potential future applications in biomedical signals and images.

Research Interests

Graph Machine Learning (GML)

Graph Signal Processing (GSP)

Matrix and Tensor Decompositions

Machine Learning / Deep Learning algorithms

Awards and Honors

1. Winning the HI! PARIS postdoctoral fellowship 2023.

2. Best Ph.D. Student, EE Department, Sharif University of Technology.

3. Top %1 in Graduate (and Ph.D.) national entrance exam.

4. Ranked 1st in Master of Science, Bioelectric Major, EE Department, Sharif University of Technology .

Research/Job Experience

Assistant Professor

Télécom Paris, Institut Polytechnique de Paris

Feb 2026 - Now

Research Interests: Graph Machine Learning (GML), Generative Models, Graph Signal Processing (GSP), Matrix and Tensor Decompositions, Biomedical Applications

Postdoctoral researcher

LTCI, Télécom Paris, Institut Polytechnique de Paris (IP-Paris), France.

Oct 2023 - Jan 2026

Topic: Learning Multi-domain Graphs from Data via Graph Machine Learning.

Teacher Assistant (TA)

LTCI, Télécom Paris, Institut Polytechnique de Paris (IP-Paris), France.

Jun 2024

the Source separation and Non-negative Matrix Factorization labs.

Co-Supervision of several B.Sc. students at Electrical Engineering

Sharif University of Technology, Tehran, Iran

Sep 2022 - Present

Teacher Assistant (TA) in selected courses

Sharif University of Technology, Tehran, Iran

Oct 2017 - Sep 2022

Deep Learning, Computer Vision, Tensor Decompositions in Signal Processing, EEG Signal Processing, Medical Image Processing, Medical Image Systems, Biomedical Signal and Image Processing Lab

EEG signal processing presentation at Sharif Neuroscience Symposium

Sharif University of Technology, Tehran, Iran

Jan 2020 - Feb 2020

Education

Doctor of Philosophy in Electrical Engineering

Sharif University of Technology, Tehran, Iran

Oct 2018 - July 2023

Thesis: Subspace Identiﬁcation and Graph Learning of Graph Signals: Application in Brain Signal Processing.

Master of Science in Electrical Engineering

Sharif University of Technology, Tehran, Iran

Oct 2016 - Sep 2018

Thesis: Iterative Pseudo Sparse Partial Least Square and its Higher-Order variant: Application to inference from high-dimensional biosignals.

Bachelor of Science in Electrical Engineering-Digital Systems

Sharif University of Technology, Tehran, Iran

Oct 2011 - Sep 2015

Thesis: Designing an application on android framework with JAVA that helps users control or manage electronic devices, and also implementation of it on AVR microcontroller and Bluetooth module using C++ in CodeVision.

Journal Papers
Conference Papers
Pre-prints

Journal Papers

1. Giraldo, J. H., Einizade, A., Todorovic, A., Castro-Correa, J. A., Badiey, M., Bouwmans, T., & Malliaros, F. D. (2024). “Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks”, IEEE Transactions on Signal and Information Processing over Networks.

2. Einizade, A., Giraldo, J. H., Malliaros, F. D., Sardouie, S. H. (2024). “Estimation of a Causal Directed Acyclic Graph Process using Non-Gaussianity”, Digital Signal Processing.

3. Einizade, A., Nasiri, S., Sardouie, S. H., Clifford, G. D. (2023). “ProductGraphSleepNet: Sleep staging using product spatio-temporal graph learning with attentive temporal aggregation.”, Neural Networks.

4. Einizade, A., Sardouie, S. H. (2023). “Learning product graphs from spectral templates.”, IEEE Transactions on Signal and Information Processing over Networks.

5. Einizade, A., Sardouie, S. H. (2023). “Iterative Pseudo-Sparse Partial Least Square and its Higher-Order variant: Application to inference from high-dimensional biosignals.”, IEEE Transactions on Cognitive and Developmental Systems.

6. Einizade, A., Sardouie, S. H. (2023). “Joint Graph Learning and Blind Separation of Smooth Graph Signals Using Minimization of Mutual Information and Laplacian Quadratic Forms.”, IEEE Transactions on Signal and Information Processing over Networks, 9, 35-47.

7. Einizade, A., Nasiri, S., Mozafari, M., Sardouie, S. H., Clifford, G. D. (2023). “Explainable automated seizure detection using attentive deep multi-view networks.”, Biomedical Signal Processing and Control, 79, 104076.

8. Einizade, A., Sardouie, S. H. (2022). “Robust blind separation of smooth graph signals using minimization of graph regularized mutual information.”, Digital Signal Processing, 132, 103792.

9. Einizade, A., Mozafari, M., Jalilpour, S., Bagheri, S., Sardouie, S. H. (2022). “Neural decoding of imagined speech from EEG signals using the fusion of graph signal processing and graph learning techniques.”, Neuroscience Informatics, 2(3), 100091.

10. Einizade, A., Sardouie, S. H. (2022). “A uniﬁed approach for simultaneous graph learning and blind separation of graph signal sources.”, IEEE Transactions on Signal and Information Processing over Networks, 8, 543-555.

11. Einizade, A., Sardouie, S. H., Shamsollahi, M. B. (2021). “Simultaneous graph learning and blind separation of graph signal sources.”, IEEE Signal Processing Letters, 28, 1495-1499.

12. Mijani, A. M., Einizade, A., Shamsollahi, M. B., Beyglou, B. T. (2020). “Cross-subject and crossparadigmlearning using convolutional neural network for P300 event-related potential detection.”, J Neurol Neurosci, 11(5), 329.

13. Einizade, A., Hajipour Sardouie, S. (2020). “Sparsiﬁcation of the PLS Regression Algorithm using L2-Norm of Weighted Coeﬃcients: Application in Emotion Recognition.”, Iranian Journal of Biomedical Engineering, 14(3), 221-233.

Conference Papers

1. Einizade, A., Dorina Thanou, Malliaros, F. D., Giraldo, J. H. (2025). “Continuous Simplicial Neural Networks.”, The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS).

2. Einizade, A., Malliaros, F. D., Giraldo, J. H. (2025). “Second-Order Tensorial Partial Differential Equations on Graphs.”, NeurIPS Workshop: New Perspectives in Graph Machine Learning.

3. Xie, Sh., Einizade, A. and Giraldo, J. H. (2025). “Subgraph Gaussian Embedding Contrast for Self-Supervised Graph Representation Learning.”, Joint European Conference on Machine Learning and Knowledge Disovery in Databases (ECML-PKDD).

4. Einizade, A., Malliaros, F. D., & Giraldo, J. H. (2024). “Continuous Product Graph Neural Networks.”, The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS).

5. Einizade, A., Mozafari, M., Sardouie, S. H., Nasiri, S., Cliﬀord, G. (2020, December). “A deep learningbased method for automatic detection of epileptic seizure in a dataset with both generalized and focal seizure types.”, In 2020 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) (pp. 1-6). IEEE.

6. Einizade, A., Mozafari, M., Rezaei-Dastjerdehei, M., Aghdaei, E., Mijani, A. M., & Sardouie, S. H. (2020, November). “Detecting ADHD children based on EEG signals using Graph Signal Processing techniques.”, In 2020 27th National and 5th International Iranian Conference on Biomedical Engineering (ICBME) (pp. 264-270). IEEE.

Pre-prints

1. Einizade, A., Malliaros, F. D., & Giraldo, J. H. (2024). “Spatiotemporal Forecasting Meets Efficiency: Causal Graph Process Neural Networks.”, Under Review at IEEE TNNLS.

2. Alizade, M. H., Einizade, A., & Giraldo, J. H. (2023). “Kernel-based Joint Multiple Graph Learning and Clustering of Graph Signals.”, arXiv e-prints, arXiv-2310.

Supervising Activities
Teaching Activities
Invited Reviewer

Supervising Activities

1. Omid Rostamabadi and Alireza Raﬁee Sardoee, Bachelor Student at Sharif University of Technology. “Developing Large Scale Graph Learning Approach to Learn the Functional Brain Connectivity”.

2. Yasamin Medghalchi, Bachelor Student at Sharif University of Technology. “Combining Support Matrix Machines and Graph Learning Approaches to Improve the classiﬁcation of EEG signals”.

Teaching Activities

1. • Teacher Assistant (TA) in the Source separation and Non-negative Matrix Factorization labs at Télécom Paris, Institut Polytechnique de Paris (IP-Paris).

2. Teacher Assistant (TA) in selected courses: Deep Learning, Computer Vision, Tensor Decompositions in Signal Processing, EEG Signal Processing, Medical Image Processing, Medical Image Systems, Biomedical Signal and Image Processing Lab.

3. Teaching fundamentals in Math and Physics for university entrance students.

Invited Reviewer

1. Journals: IEEE Transactions on Neural Networks and Learning Systems, IEEE Signal Processing Letters.

aref.einizade@telecom-sudparis.eu

Email

Télécom SudParis

Address